관심 객체 분할을 위한 삼차원 능동모양모델 기법

Three-dimensional Active Shape Model for Object Segmentation

  • 임성재 (광주과학기술원 정보통신공학과) ;
  • 호요성 (광주과학기술원 정보통신공학과)
  • Lim, Seong-Jae (Gwangju Institute of Science and Technology (GIST)) ;
  • Ho, Yo-Sung (Gwangju Institute of Science and Technology (GIST))
  • 발행 : 2006.06.21

초록

In this paper, we propose an active shape image segmentation method for three-dimensional(3-D) medical images using a generation method of the 3-D shape model. The proposed method generates the shape model using a distance transform and a tetrahedron method for landmarking. After generating the 3-D model, we extend the training and segmentation processes of 2-D active shape model(ASM) and improve the searching process. The proposed method provides comparative results to 2-D ASM, region-based or contour-based methods. Experimental results demonstrate that this algorithm is effective for a semi-automatic segmentation method of 3-D medical images.

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